Tether

Research Engineer Intern – Multimodal LLM & Foundation Models

Rabat

Stage / AlternanceTélétravailMaster / Bac+5AnglaisData / BIInformatique / IT

L’essentiel du poste

Résumé par Postule AI

Research Engineer Intern position at Tether focused on developing multimodal LLMs and foundation models. This MSc/PhD internship offers hands-on experience in cutting-edge AI research, including model development, optimization of distributed training frameworks, and implementation of large models in production scenarios. Work remotely with a global team on open-source AI projects.

Vos missions

  • Research and develop state-of-the-art LLM, video, and multimodal foundation models for open-source advancement
  • Implement large model applications in business scenarios including pre-training, fine-tuning, and inference optimization
  • Optimize distributed model training frameworks for multi-node GPU clusters at scale
  • Collaborate with cross-functional teams to advance open-source LLM, vision, and multimodal products

Profil recherché

  • You are an MSc or PhD candidate in computer science or related technical field
  • You have research experience in LLMs, computer vision, or multimodal AI systems
  • You are proficient with PyTorch and eager to work on large-scale model training
  • You thrive in collaborative, remote environments and want to impact cutting-edge AI research

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About the Role

Join Tether's research team as a Research Engineer Intern focused on developing state-of-the-art multimodal large language models (LLMs) and foundation models. This is an MSc/PhD internship opportunity for 2025/2026 where you will actively contribute to cutting-edge AI research and product development while collaborating with industry experts globally.

Main Responsibilities

  • Research and develop state-of-the-art LLM, video, and multimodal models to accelerate open-source progress
  • Implement large model applications in business scenarios including pre-training, fine-tuning, post-training, and inference optimization
  • Continuously optimize distributed model training frameworks for large-scale GPU clusters
  • Collaborate with cross-functional teams to advance open-source foundation models and products

Required Qualifications

  • MSc or PhD candidate in computer science or related technical discipline
  • Research experience in at least one area: LLM, computer vision, or multimodality
  • Proficiency with PyTorch deep learning framework and libraries
  • Strong analytical, problem-solving, and communication skills

Nice to Have

  • Publications in top AI conferences (ACL, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, IJCV)

Why Join Tether?

Work remotely with a global team of talented researchers and engineers. Gain hands-on experience with state-of-the-art AI technologies, participate in community-building events, and contribute to products shaping the future of digital finance and AI innovation.

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